Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

13.4K
Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
13.4K
What is Variation?01:14

What is Variation?

18.5K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.5K
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.8K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.1K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Capacitive heating devices for therapeutic hyperthermia: a review of essential physical characteristics and challenges.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2026
Same author

Real-World Experience With Secukinumab for Hidradenitis Suppurativa: A Multicenter Retrospective Analysis of 263 Patients From the SECU-SPAIN Study.

Actas dermo-sifiliograficas·2025
Same author

[Smartphone Funduscopic Examination by Medical Students: The FUSOMED Project].

Journal francais d'ophtalmologie·2025
Same author

Growth rate is related to elongation of RNA polymerase II transcription in Saccharomyces cerevisiae.

Biochimica et biophysica acta. Gene regulatory mechanisms·2025
Same author

Retinal vascular occlusion as presenting sign of occult gynecological cancer.

Journal francais d'ophtalmologie·2025
Same author

[Ten-year study of the epidemiology and clinical features of uveitis in Picardie, France].

Journal francais d'ophtalmologie·2025

Related Experiment Video

Updated: Feb 2, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K

Multispectral total-variation reconstruction applied to lens-free microscopy.

L Herve1, O Cioni1, P Blandin1

  • 1Univ. Grenoble Alpes, CEA, LETI, DTBS-LSIV, F-38000 Grenoble, France.

Biomedical Optics Express
|November 22, 2018
PubMed
Summary

This study introduces a new method for lens-free microscopy, efficiently reconstructing phase images of densely packed cells using multispectral data and an inverse problem approach.

More Related Videos

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

10.0K
Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

4.5K

Related Experiment Videos

Last Updated: Feb 2, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

10.0K
Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

4.5K

Area of Science:

  • Biomedical Optics
  • Computational Imaging
  • Cell Biology

Background:

  • Lens-free microscopy offers a cost-effective alternative to traditional microscopy.
  • Multispectral imaging provides rich information for biological samples.
  • Phase imaging is crucial for visualizing unstained biological specimens.

Purpose of the Study:

  • To develop an efficient method for reconstructing phase images from multispectral lens-free microscopy data.
  • To address challenges in imaging densely packed cell samples.

Main Methods:

  • Utilized an inverse problem approach for processing multispectral acquisitions.
  • Defined and minimized a multispectral total variation criterion.
  • Employed the conjugate gradients method for optimization.

Main Results:

  • Successfully reconstructed phase images of densely packed cells.
  • Demonstrated the efficiency of the proposed inverse problem method.
  • Validated the capability to recover phase information from complex cellular structures.

Conclusions:

  • The developed inverse problem approach is effective for phase recovery in multispectral lens-free microscopy.
  • This technique shows promise for high-throughput, label-free cell imaging and analysis.